大跨时空任务背景下的太阳能无人机任务规划技术研究进展

doi:10.7527/S1000-6893.2019.23414

新能源飞行器技术专栏

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大跨时空任务背景下的太阳能无人机任务规划技术研究进展

吴健发^1,2,3, 王宏伦^1,2, 黄宇⁴

1. 北京航空航天大学自动化科学与电气工程学院, 北京 100083;
2. 北京航空航天大学飞行器控制一体化技术重点实验室, 北京 100083;
3. 北京航空航天大学高等理工学院, 北京 100083;
4. 北京信息科技大学自动化学院, 北京 100192

收稿日期:2019-09-02 修回日期:2019-10-08 出版日期:2020-03-15 发布日期:2019-09-30
通讯作者: 王宏伦 E-mail:hl_wang_2002@126.com
基金资助:
国家自然科学基金（61175084，61673042，61803223）

Research development of solar powered UAV mission planning technology in large-scale time and space spans

WU Jianfa^1,2,3, WANG Honglun^1,2, HUANG Yu⁴

1. School of Automation Science and Electrical Engineering, Beihang University, Beijing 100083, China;
2. Science and Technology on Aircraft Control Laboratory, Beihang University, Beijing 100083, China;
3. Shenyuan Honors College, Beihang University, Beijing 100083, China;
4. School of Automation, Beijing Information Science and Technology University, Beijing 100192, China

Received:2019-09-02 Revised:2019-10-08 Online:2020-03-15 Published:2019-09-30
Supported by:
National Natural Science Foundation of China (61175084,61673042,61803223)

摘要/Abstract

摘要： 通过任务规划技术合理的优化太阳能无人机的飞行轨迹和动力学参数，能够有效提高太阳能无人机的能量利用率，使其胜任许多大范围跨时间跨空间飞行任务。从能量建模、续航评估和能量管理策略3个方面对大跨时空任务背景下太阳能无人机任务规划技术的研究进展进行了综述。在能量建模方面，介绍了当前主流的太阳辐射模型和能量生产基本框架；在续航评估方面，分析了目前的指标设计和应用方法；在能量管理策略方面，从能量综合应用、风力滑翔机制、轨迹优化方法和面向特定任务的应用4个角度，梳理了当前的研究现状。最后，对该领域未来可能的研究方向进行了展望。

关键词: 任务规划技术, 太阳能无人机, 大跨时空飞行任务, 能量建模, 续航评估, 能量管理策略

Abstract: Using the mission planning technology to optimize the flight trajectory and dynamical parameters, the energy utilization of the Solar Powered Unmanned Aerial Vehicle (SUAV) can be effectively improved, making it qualified for many flight missions in large time spans and space spans. In this paper, the research development of the SUAV mission planning technology in large time spans and space spans is reviewed from the energy modeling, endurance evaluation, and energy management strategy. In energy modeling, the current mainstream solar radiation models and energy production basic frameworks are introduced. In endurance evaluation, the present index designs and application methods are analyzed. In energy management strategy, the current research status is combed through in terms of energy comprehensive utilization, gliding mechanism in wind fields, trajectory optimization method, and application for specific missions. Finally, promising research directions of this field are prospected.

Key words: mission planning technology, solar powered unmanned aerial vehicle, flight mission in large-scale time and space spans, energy modeling, endurance evaluation, energy management strategy

中图分类号:

V272
V249.1

吴健发, 王宏伦, 黄宇. 大跨时空任务背景下的太阳能无人机任务规划技术研究进展[J]. 航空学报, 2020, 41(3): 623414-623414.

WU Jianfa, WANG Honglun, HUANG Yu. Research development of solar powered UAV mission planning technology in large-scale time and space spans[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2020, 41(3): 623414-623414.

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主管单位：中国科学技术协会主办单位：中国航空学会北京航空航天大学

大跨时空任务背景下的太阳能无人机任务规划技术研究进展

Research development of solar powered UAV mission planning technology in large-scale time and space spans

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